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Probabilistic planning for AUV data harvesting from smart underwater sensor networks

Abstract:

Harvesting valuable ocean data, ranging from climate and marine life analysis to industrial equipment monitoring, is an extremely challenging real-world problem. Sparse underwater sensor networks are a promising approach to scale to larger and deeper environments, but these have difficulty offloading their data without external assistance. Traditionally, offloading data has been achieved by costly, fixed communication infrastructure. In this paper, we propose a planning under uncertainty meth...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1109/IROS47612.2022.9981460

Authors


Publisher:
IEEE
Host title:
Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Volume:
2022-October
Pages:
12051-12057
Publication date:
2022-12-26
Event title:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Event location:
Kyoto, Japan
Event website:
https://iros2022.org/
Event start date:
2022-10-23
Event end date:
2022-10-27
DOI:
EISSN:
2153-0866
ISSN:
2153-0858
EISBN:
9781665479271
ISBN:
9781665479288
Language:
English
Keywords:
Pubs id:
1328398
Local pid:
pubs:1328398
Deposit date:
2023-03-10

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